课题基金 / 基金详情

Translational Data Science - Industry / Academic Confluence (TDS-IAC)

Translational Data Science - Industry / Academic Confluence (TDS-IAC)
转化数据科学 - 行业/学术融合 (TDS-IAC)
批准号:
1802878
负责人:
David Culler
金额:
$4.82万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-11-01 至 2018-10-31

项目摘要

项目成果

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中文摘要
翻译
随着数据在我们生活中的可用性、重要性和适用性的增加,转化数据科学这一新兴领域对于利用与数据相关的科学学科的进步带来的社会效益至关重要。数据创造和使用的空前增长为培养研究人员、行业和政府同事以及不同社区之间更有效的桥梁提供了新的机会,以实现新的科学进步和切实的社会效益。本次研讨会将重点关注学术研究和行业专业知识,以促进合作和伙伴关系。转化数据科学是一个新兴领域,它应用数据科学原理、技术和技术来应对科学挑战,这些挑战有望产生重要的社会影响。它侧重于数据科学的基础方面及其在推进科学前沿的应用之间的接口和交互。通过召集可以为转化数据科学路线图的战略发展做出贡献的不同利益相关者社区,本次研讨会将建立和加强跨部门的联系。来自行业、政府、非营利组织和学术界的观点和见解,以及对可操作的挑战和可衡量的结果的讨论,将有助于推动数据科学领域以及相关领域和应用领域的发展。研讨会提供了一种机制,用于确定未来研究、培训和合作的高优先级主题和高影响机会。
英文摘要
With the increased availability, prominence, and applicability of data in all of our lives, the emergingfield of Translational Data Science is critical to harnessing societal benefit from advances in data-relatedscientific disciplines. The unprecedented growth in the creation and use of data offers new opportunitiesfor fostering more effective bridges between researchers, industry and government colleagues, and adiverse community to enable new scientific progress and tangible advances for societal benefit. This workshop will focus on academic research and industry expertise to further cooperation and partnerships.Translational data science is an emerging field that applies data science principles, techniques, andtechnologies to scientific challenges that hold the promise of having an important societal impact. Itfocuses on the interface and interactions between foundational aspects of data science and their use inadvancing scientific frontiers. By convening a diverse community of stakeholders who can contribute to the strategic development of a Translational Data Science roadmap, this workshop will build and strengthen connections across sectors. The perspectives and insights shared from industry, government, nonprofits, and academia, coupled with discussions focused on actionable challenges and measurable outcomes, will serve to advance the field of data science as well as related fields and application areas. The workshop provides a mechanism for identifying high-priority topics and high-impact opportunities for future research, training, and collaboration.
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BD Hubs: Collaborative Proposal: WEST: A Big Data Innovation Hub for the Western United States
  • 批准号:
    1550312
  • 项目类别:
    Standard Grant
  • 资助金额:
    $95.94万
  • 财政年份:
    2015
  • 负责人:
    David Culler
  • 依托单位:
REU Site: Summer Undergraduate Program in Engineering Research at Berkeley-Information Technology for Sustainability (SUPERB-ITS)
  • 批准号:
    1359499
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.5万
  • 财政年份:
    2014
  • 负责人:
    David Culler
  • 依托单位:
CPS: Synergy: Software Defined Buildings
  • 批准号:
    1239552
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2012
  • 负责人:
    David Culler
  • 依托单位:
REU Site: SUPERB-Information Technology for Sustainability
  • 批准号:
    1063117
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.07万
  • 财政年份:
    2011
  • 负责人:
    David Culler
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: